Description
R FOR LINUX
Description:
R is an open source, freely distributed, and multiplatform command-line software that provides an integrated suite of software facilities for data calculation, manipulation, and graphical display. It is a programming language and environment designed for statistical computing and graphics. Developed by the R core development team, it is a GNU project similar to the S programming language.
Key Features:
- Effective and simple programming language
- Useful data storage and handling functions
- Set of operators for array calculations
- Integrated utilities for data analysis
- Graphical functions for data display and analysis
- Wide range of graphical and statistical techniques
- Ability to produce publication-quality plots
- Extensible with additional functionality
- Plugin architecture for extending default functions through packages
Compatibility:
- Works on a wide range of GNU/Linux, UNIX-like operating systems, Microsoft Windows, and Mac OS X
- Implemented in the C programming language
- Successfully tested on both 32-bit and 64-bit hardware platforms
Publisher:
R FOR LINUX is published by the R core development team. Comprehensive documentation is available on the project's homepage. For more information, visit the publisher's website.
User Reviews for R FOR LINUX 7
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R FOR LINUX is a powerful statistical computing software with a simple programming language, wide range of techniques and publication-quality plots.
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R is an incredible tool for data analysis! Its capabilities in statistical computing and graphics are unmatched.
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I love using R for my data projects. The extensive documentation and community support make it so easy to learn!
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R has transformed the way I handle data. The graphical functions are fantastic, and it's super versatile!
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As a beginner, I found R's learning curve manageable. It’s powerful for both basic and advanced statistical tasks.
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R is simply amazing! The ability to extend its functionalities with packages makes it a must-have for analysts.
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I've tried several data analysis tools, but R stands out with its robust features and cross-platform compatibility!